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Registros recuperados : 11 | |
1. | | Hayes, P.M.; Cerono, J. La calidad maltera de la cebada y el estudio de QTL ln: Congreso de cebada maltera, 2., 1996, Carillanca, Temuco, Chile Beratto M., E., ed. Trabajos presentados. Temuco: FAO/INIA Carillanca, 1999. p. 39-43Biblioteca(s): INIA La Estanzuela. |
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2. | | Hayes, P.M.; Vivar, H.E. El método de Hordeum bulbosum y su aplicación en la transferencia genética de resistencia a enfermedades ln: Congreso de cebada maltera, 2., 1996, Carillanca, Temuco, Chile Beratto M., E., ed. Trabajos presentados. Temuco: FAO/INIA Carillanca, 1999. p. 13-18Biblioteca(s): INIA La Estanzuela. |
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3. | | Jobet F., C.; Hayes, P.M.; Pan, A. Desarrollo de progenies con múltiples marcadores morfológicos utilizando doble haploides en cebada ln: Congreso de cebada maltera, 2., 1996, Carillanca, Temuco, Chile Beratto M., E., ed. Trabajos presentados. Temuco: FAO/INIA Carillanca, 1999. p. 31-37Biblioteca(s): INIA La Estanzuela. |
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4. | | Hayes, P.M.; Vivar, H.E.; Beratto M., E. Red Cebada Latina (RECLA) ln: Congreso de cebada maltera, 2., 1996, Carillanca, Temuco, Chile Beratto M., E., ed. Trabajos presentados. Temuco: FAO/INIA Carillanca, 1999. p. 231-238Biblioteca(s): INIA La Estanzuela. |
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5. | | Vivar, H.E.; Gilchrist S., L.; Hayes, P.M.; Crossa, J. Mejoramiento en cebada por resistencia a la roña de la espiga causada por Fusarium sp ln: Congreso de cebada maltera, 2., 1996, Carillanca, Temuco, Chile Beratto M., E., ed. Trabajos presentados. Temuco: FAO/INIA Carillanca, 1999. p. 141-154Biblioteca(s): INIA La Estanzuela. |
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6. | | CASTRO A.; GAMBA, F.; GERMÁN, S.; GONZÁLEZ, S.N.; HAYES, P.M.; PEREYRA, S.; PÉREZ, C. Quantitative trait locus analysis of spot blotch and leaf rust resistance in the BCD47 × Baronesse barley mapping population. Plant Breeding, v. 131, n. 2, p. 258-266, 2012. Article histoty: Received December 22, 2010/Accepted October 26, 2011.Biblioteca(s): INIA La Estanzuela. |
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7. | | CASTRO, A.; GERMAN, S.; GONZÁLEZ, S.N.; HAYES, P.M.; PEREYRA, S.; PEREZ, C. QTL analysis of spot blotch and leaf rust resistance in the BCD47 × Baronesse barley mapping population. International Barley Genetics Symposium,10.,Alexandria, Egypt: ICARDA, Proceedings, 2008. p. 311-319.Biblioteca(s): INIA La Estanzuela. |
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8. | | VON ZITZEWITZ, J.; CUESTA-MARCOS, A.; CONDON, F.; CASTRO, A. J.; CHAO, S.; COREY, A.; FILICHKIN, T.; FISK, S.P.; GUTIERREZ, L.; HAGGARD, K.; KARSAI, I.; MUEHLBAUER, G. J.; SMITH, K.P.; VEISZ, O.; HAYES, P.M. The genetics of winterhardiness in barley: perspectives from genome-wide association mapping. The Plant Genome, v. 4., n,1, p. 76-91, 2011.Biblioteca(s): INIA La Estanzuela. |
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9. | | GUTIÉRREZ, L.; BERBERIAN, N.; CAPETTINI, F.; FALCIONI, E.; FROS, D.; GERMAN, S.; HAYES, P. M.; HUERTA-ESPINO, J.; HERRERA, S.; PEREYRA, S.; PEREZ, C.; SANDOVAL-ISLAS, S.; SINGH, R.; CASTRO, A. Genome-wide association mapping identifies disease resistance QTLs in barley germplasm from Latin America: chapter 18. In: INTERNATIONAL BARLEY GENETICS SYMPOSIUM, 11., 2012, Hangzhou, CN. Advance in barley sciences: proceedings. Dordrecht: Zhejiang University Press/Springer, 2013. p. 209-215Biblioteca(s): INIA La Estanzuela. |
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10. | | GUTIÉRREZ, L.; BERBERIAN, N.M.; GERMÁN, S.; PEREYRA, S.; CAPETTINI, F.; FALCONI, E.; HAYES, P.M.; PÉREZ, C.; SANDOVAL-ISLAS, S.; ORJEDA, G.; NEYRA, E.; GONZA, V.A.; CASTRO, A. Multi-environment multi-QTL association mapping in barley In: INTERNATIONAL ANIMAL AND PLANT GENOME CONFERENCE, 21., 2013, San Diego, CA, US. Genome mapping, tagging and characterization: wheat, barley, oat, and related. P0285. [s.l.: INTLPAG], 2013.Biblioteca(s): INIA La Estanzuela. |
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11. | | GUTIÉRREZ, L.; GERMAN, S.; PEREYRA, S.; HAYES, P.M.; PÉREZ, C.A.; CAPETTINI, F.; LOCATELLI, A.; BERBERIAN, N.M.; FALCONI, E.E.; ESTRADA, R.; DARIO FROS; GONZA, V.; ALTAMIRANO, H.; HUERTA-ESPINO, J.; NEYRA, E.; ORJEDA, G.; SANDOVAL-ISLAS, S.; SINGH, R.; TURKINGTON, K.; CASTRO, A.J. Multi-environment multi-QTL association mapping identifies disease resistance QTL in barley germplasm from Latin America. Theoretical Applied Genetics, 2015, v.128, n.3 p.501-516. Article history: Received 15 October 2014 / Accepted 17 December 2014 / First Online 30 December 2014.Biblioteca(s): INIA La Estanzuela. |
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Registros recuperados : 11 | |
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Registro completo
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Biblioteca (s) : |
INIA Tacuarembó. |
Fecha actual : |
29/04/2015 |
Actualizado : |
16/09/2016 |
Tipo de producción científica : |
Trabajos en Congresos/Conferencias |
Autor : |
DO CARMO, M.; CARDOZO, G.; SOCA, P.M. |
Afiliación : |
MARTIN DO CARMO CORUJO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GERONIMO AGUSTIN CARDOZO CABANELAS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; PABLO M. SOCA. |
Título : |
Measurement of campos rangelands herbage mass by simple methods. [Resumen]. |
Fecha de publicación : |
2015 |
Fuente / Imprenta : |
ANNUAL MEETING OF THE SOCIETY FOR RANGE MANAGEMENT, SRM, 68., Sacramento, USA, 2015. |
Idioma : |
Inglés |
Contenido : |
Accurate and precise estimation of herbage mass is essential for livestock management, because herbage allowance depends on it estimation. Difficulties in estimation arise because of great variability in herbage mass in grassland and rangeland situations. Measuring yield directly by cutting is costly and destructive; but herbage height is highly correlated with herbage mass, thus could be a substitute of the cutting. Based on measurement of herbage mass in a large experiment (EEBR) and in four farms across Uruguay (MICN), we analyzed the relationship between herbage height and dry weight of the quadrat in kg/ha. Analysis was performed
with PROC MIXED and PROC CORR of SAS. On the other hand, the sample size to be taken in each paddock is of great importance and was estimated from the data population described above by resampling and estimating the coefficient of variation (CV) between means. A CV of 10% was defined as the limit to consider the estimation precise enough. The general relationship was y = 224 (±36) + x * 339 (±4), R2 = 0.84. Sample size to maintain the average with a CV error below 10% varied with mean, because it change the variance, however as a general rule, with a sample size between 60 to 100 only one estimation from 198, was above 10% error of the mean. We conclude that estimations based on herbage height are accurate enough (R2 = 0.84) to estimate the herbage mass and a sample size from
60 to 100, give as confidence to estimate herbage mass with precision in paddocks from 5 to 190 ha. That methodology should be extended to Campos rangeland manager for decision making to control grazing intensity. MenosAccurate and precise estimation of herbage mass is essential for livestock management, because herbage allowance depends on it estimation. Difficulties in estimation arise because of great variability in herbage mass in grassland and rangeland situations. Measuring yield directly by cutting is costly and destructive; but herbage height is highly correlated with herbage mass, thus could be a substitute of the cutting. Based on measurement of herbage mass in a large experiment (EEBR) and in four farms across Uruguay (MICN), we analyzed the relationship between herbage height and dry weight of the quadrat in kg/ha. Analysis was performed
with PROC MIXED and PROC CORR of SAS. On the other hand, the sample size to be taken in each paddock is of great importance and was estimated from the data population described above by resampling and estimating the coefficient of variation (CV) between means. A CV of 10% was defined as the limit to consider the estimation precise enough. The general relationship was y = 224 (±36) + x * 339 (±4), R2 = 0.84. Sample size to maintain the average with a CV error below 10% varied with mean, because it change the variance, however as a general rule, with a sample size between 60 to 100 only one estimation from 198, was above 10% error of the mean. We conclude that estimations based on herbage height are accurate enough (R2 = 0.84) to estimate the herbage mass and a sample size from
60 to 100, give as confidence to estimate herbage mass with precisi... Presentar Todo |
Thesagro : |
FORRAJES; PASTURAS. |
Asunto categoría : |
A50 Investigación agraria |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/4400/1/DO-CARMO-2015-AINFO.pdf
http://www.rangelands.org/events/
|
Marc : |
LEADER 02135nam a2200157 a 4500 001 1052580 005 2016-09-16 008 2015 bl uuuu u01u1 u #d 100 1 $aDO CARMO, M. 245 $aMeasurement of campos rangelands herbage mass by simple methods. [Resumen].$h[electronic resource] 260 $aANNUAL MEETING OF THE SOCIETY FOR RANGE MANAGEMENT, SRM, 68., Sacramento, USA$c2015 520 $aAccurate and precise estimation of herbage mass is essential for livestock management, because herbage allowance depends on it estimation. Difficulties in estimation arise because of great variability in herbage mass in grassland and rangeland situations. Measuring yield directly by cutting is costly and destructive; but herbage height is highly correlated with herbage mass, thus could be a substitute of the cutting. Based on measurement of herbage mass in a large experiment (EEBR) and in four farms across Uruguay (MICN), we analyzed the relationship between herbage height and dry weight of the quadrat in kg/ha. Analysis was performed with PROC MIXED and PROC CORR of SAS. On the other hand, the sample size to be taken in each paddock is of great importance and was estimated from the data population described above by resampling and estimating the coefficient of variation (CV) between means. A CV of 10% was defined as the limit to consider the estimation precise enough. The general relationship was y = 224 (±36) + x * 339 (±4), R2 = 0.84. Sample size to maintain the average with a CV error below 10% varied with mean, because it change the variance, however as a general rule, with a sample size between 60 to 100 only one estimation from 198, was above 10% error of the mean. We conclude that estimations based on herbage height are accurate enough (R2 = 0.84) to estimate the herbage mass and a sample size from 60 to 100, give as confidence to estimate herbage mass with precision in paddocks from 5 to 190 ha. That methodology should be extended to Campos rangeland manager for decision making to control grazing intensity. 650 $aFORRAJES 650 $aPASTURAS 700 1 $aCARDOZO, G. 700 1 $aSOCA, P.M.
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